ImageCLEF 2017: ImageCLEF Tuberculosis Task - the SGEast Submission. - Jiamei Sun; Penny Chong; Yi Xiang Marcus Tan; Alexander Binder (CLEF (Working Notes), 2017)

Mouse Authentication Without the Temporal Aspect - What Does a 2D-CNN Learn? - Penny Chong; Yi Xiang Marcus Tan; Juan Guarnizo; Yuval Elovici; Alexander Binder (IEEE Symposium on Security and Privacy Workshops, 2018)

Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. - Penny Chong; Lukas Ruff; Marius Kloft; Alexander Binder (IJCNN, 2020)

Deja vu from the SVM Era: Example-based Explanations with Outlier Detection. - Penny Chong; Yuval Elovici; Alexander Binder (CoRR, 2020)

Detection of Adversarial Supports in Few-shot Classifiers Using Feature Preserving Autoencoders and Self-Similarity. - Yi Xiang Marcus Tan; Penny Chong; Jiamei Sun; Yuval Elovici; Alexander Binder (CoRR, 2020)

User Authentication Based on Mouse Dynamics Using Deep Neural Networks: A Comprehensive Study. - Penny Chong; Yuval Elovici; Alexander Binder (IEEE Trans. Inf. Forensics Secur., 2020)

Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples. - Yi Xiang Marcus Tan; Penny Chong; Jiamei Sun; Ngai-Man Cheung; Yuval Elovici; Alexander Binder (CoRR, 2021)

Toward Scalable and Unified Example-Based Explanation and Outlier Detection. - Penny Chong; Ngai-Man Cheung; Yuval Elovici; Alexander Binder (IEEE Trans. Image Process., 2022)

Multimodal Deep Learning with Boosted Trees for Edge Inference. - Penny Chong; Laura Wynter; Bharathi Chaudhury (ICDM (Workshops), 2023)

Efficiently Distilling LLMs for Edge Applications. - Achintya Kundu; Fabian Lim; Aaron Chew; Laura Wynter; Penny Chong; Rhui Dih Lee (NAACL (Industry Track), 2024)